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- W4224951911 abstract "Data scientists are constantly facing the problem of how to improve prediction accuracy with insufficient tabular data. We propose a table enrichment system that enriches a query table by adding external attributes (columns) from data lakes and improves the accuracy of machine learning predictive models. Our system has four stages, join row search, task-related table selection, row and column alignment, and feature selection and evaluation, to efficiently create an enriched table for a given query table and a specified machine learning task. We demonstrate our system with a web UI to show the use cases of table enrichment." @default.
- W4224951911 created "2022-04-28" @default.
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- W4224951911 date "2022-07-06" @default.
- W4224951911 modified "2023-09-29" @default.
- W4224951911 title "Table Enrichment System for Machine Learning" @default.
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- W4224951911 doi "https://doi.org/10.1145/3477495.3531678" @default.
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